Do Family Wealth Shocks Affect Fertility Choices? Evidence from the Housing Market Boom and Bust

While there is a great deal of literature focusing on the relationship between income and fertility, little is known about how wealth affects fertility decisions of the household. This paper fills this gap in the literature by investigating how changes in housing wealth affect fertility. In particular, we use the wealth variation supplied by the recent housing boom and bust to generate exogenous variation in household wealth. We first conduct a state-level aggregate analysis to investigate how the birth rate is related to housing prices using differences in the timing and size of the housing market boom and bust across different states over time. We then conduct an analysis using restricted-use data from the Panel Study of Income Dynamics that allows us to track how women’s fertility behavior is related to individual-level housing price growth. The demographic and geographic controls in the PSID allow us to control extensively for any confounding effects driven by household selection across different cities or neighborhoods, and we find that for homeowners, a $10,000 increase in real housing wealth causes a 0.07 percent increase in fertility. We find little effects of MSA-level housing price growth on the fertility of renters, which supports our identification strategy. That increases in housing wealth are strongly associated with increases in fertility is consistent with some recent work showing a positive income effect on births, and our estimates are suggestive that the large recent variation in the housing market could have sizeable demographic effects that are driven by the positive effect of housing wealth on fertility.

NEEDLES IN A HAYSTACK: COST-EFFECTIVE SAMPLING OF MARINE SPORT ANGLERS

An obstacle to conducting economic studies of marine sport anglers is the difficulty and expense in drawing a representative sample. Unlike inland fishing, where licenses are required in all states, only selected states require a marine sport fishing license and these licenses usually only cover selected marine fishing activities. Currently, there are no low cost methods of obtaining a representative sample of marine anglers because they are generally not licensed, use multiple access points, and represent a small proportion of the general population. The difficulty and expense of drawing a representative sample may have stifled attempts to study marine anglers. We test alternative sampling strategies by comparing the characteristics of a representative sample of experienced marine anglers with the characteristics of two other samples using multivariate and univariate analysis techniques. We conclude a sample of marine anglers drawn from the population of licensed inland anglers is not significantly different from the representative sample of experienced marine anglers.Resource /Energy Economics and Policy,

Modeling Cell-to-Cell Communication Networks Using Response-Time Distributions.

Cell-to-cell communication networks have critical roles in coordinating diverse organismal processes, such as tissue development or immune cell response. However, compared with intracellular signal transduction networks, the function and engineering principles of cell-to-cell communication networks are far less understood. Major complications include: cells are themselves regulated by complex intracellular signaling networks; individual cells are heterogeneous; and output of any one cell can recursively become an additional input signal to other cells. Here, we make use of a framework that treats intracellular signal transduction networks as "black boxes" with characterized input-to-output response relationships. We study simple cell-to-cell communication circuit motifs and find conditions that generate bimodal responses in time, as well as mechanisms for independently controlling synchronization and delay of cell-population responses. We apply our modeling approach to explain otherwise puzzling data on cytokine secretion onset times in T cells. Our approach can be used to predict communication network structure using experimentally accessible input-to-output measurements and without detailed knowledge of intermediate steps

Instrumentation of the variable-angle magneto-optic ellipsometer and its application to M-O media and other non-magnetic films

A new and comprehensive dielectric tensor characterization instrument is presented for characterization of magneto-optical recording media and non-magnetic thin films. Random and systematic errors of the system are studied. A series of TbFe, TbFeCo, and Co/Pt samples with different composition and thicknesses are characterized for their optical and magneto-optical properties. The optical properties of several non-magnetic films are also measured

An acoustic charge transport imager for high definition television applications

In this report we present the progress during the second six month period of the project. This includes both experimental and theoretical work on the acoustic charge transport (ACT) portion of the chip, the theoretical program modelling of both the avalanche photodiode (APD) and the charge transfer and overflow transistor and the materials growth and fabrication part of the program

A prototype system for detecting the radio-frequency pulse associated with cosmic ray air showers

The development of a system to detect the radio-frequency (RF) pulse associated with extensive air showers of cosmic rays is described. This work was performed at the CASA/MIA array in Utah, with the intention of designing equipment that can be used in conjunction with the Auger Giant Array. A small subset of data (less than 40 out of a total of 600 hours of running time), taken under low-noise conditions, permitted upper limits to be placed on the rate for pulses accompanying showers of energies around $10^{17}$ eV.Comment: 53 pages, LaTeX, 19 figures, published in Nuclear Instruments and Methods. Revised version; some references update

Increasing Beach Recreation Benefits by Using Wetlands to Reduce Contamination

The public swimming beach at Maumee Bay State Park (MBSP) on Lake Erie is often posted for occurrences of unsafe levels of bacteria. The main source of bacteria derives from a drainage ditch that discharges near the beach. We have conducted a comprehensive study to determine the feasibility of using a constructed wetland to filter the ditch water, prior to its entry into Maumee Bay. As part of this study, we administered an on-site non-market valuation survey of beach visitors, in which observed and contingent trips to the beach were used to estimate the potential welfare benefits of the restored wetlands. The data were analyzed using three versions of the multivariate Poisson-lognormal (MPLN) model, a random effects count data model. We conclude version one, with flexible covariance structure and vehicle costs of $0.25 per mile, is the preferred version and use it to estimate an average annual willingness to pay (WTP) of$166 to construct wetlands and improve water quality. The aggregate annual benefit to an estimated 37,300 annual beach visitors is estimated as $6.19 million. The robustness of this estimate to a variety of alternative assumptions is examined.Count data model, Poisson lognormal, on-site sampling, recreation demand, wetland, simulated maximum likelihood, Community/Rural/Urban Development, Environmental Economics and Policy, Public Economics, Q51,

An inter-comparison of Arctic synoptic scale storms between four global reanalysis datasets

The Arctic is becoming more accessible as sea ice extent continues to decline, resulting in higher human exposure to Arctic storms. This study compares Arctic storm characteristics between the ECMWF-Interim Reanalysis, 55-year Japanese Reanalysis, NASA-Modern Era Retrospective Analysis for Research and Applications Version 2 and National Centre for Environmental Prediction-Climate Forecast System Reanalysis datasets between 1980 and 2017, in winter (DJF) and summer (JJA). It is shown that Arctic storm characteristics are sensitive to the variable used for storm tracking. Arctic storm frequency is found to be similar in summer and winter when using sea level pressure minima to track Arctic storms, whereas, the storm frequency is found to be higher in winter than summer when using 850 hPa relative vorticity to track storms, based on using the same storm tracking algorithm. It is also found that there are no significant trends in Arctic storm characteristics between 1980 and 2017. Given the sparsity of observations in the Arctic, it might be expected that there are large differences in Arctic storm characteristics between the reanalysis datasets. Though, some similar Arctic storm characteristics are found between the reanalysis datasets, it is found that the differences in Arctic storm characteristics between the reanalysis datasets are generally higher in winter than in summer. Overall, the results show that there are differences in Arctic storm characteristics between reanalysis datasets, but even larger differences can arise between using 850 hPa relative vorticity or mean sea level pressure as the storm tracking variable, which adds to the uncertainty associated with current Arctic storm characteristics